- extracting knowledge and meaning from (big) data
- statistics, mathematics, computer science
- Where do the data come from?
April 2, 2019
\(>\) 90% of researchers in the biological sciences work with or plan to work with big data
(Williams & Teal 2017)\(>\) 60% of researchers in the biological sciences report a need for more training in data science
Meta-analysis 2013 - 2016
Have you heard the term _____________?
(Williams et al 2017)
Experiential
Data science for
Undergraduate
Cross-disciplinary
Education
MICB 301
MICB 405
MICB 322
MICB 425
4. Already overly full curricula
5. Limited access to resources
Have you heard the term _____________?
How would you rate your interest in…
How would you rate your interest in…
What level of experience do you have in …
What level of experience do you have in …
A wealth of survey data
More courses? Other departments?
Faculty of Science Data Science Curriculum Committee
Independent learning tools https://ubc-educe.shinyapps.io/course_knitter/
Steven Hallam
Jennifer Bonderoff
Yue Liu (App MATH)
Julia Beni (U. Minnesota)
Kris Hong (CPSC, STAT)
Jonah Lin (MICB, CPSC)
Lisa McEwen (MedGen)
Ryan McLaughlin (BINFO)
Connor Morgan-Lang (BINFO)
Nolan Shelley (Botany)
David Yin (CPSC, STAT)
Sean Crowe
Lindsay Eltis
Jennifer Gardy
Marcia Graves
Martin Hirst
Bill Mohn
Dave Oliver
Jen Sibley
Gaby Cohen-Freue (STAT)
Patrick Walls (MATH)
Biljana Stojkova (ASDa)
UBC Teaching and Learning Enhancement Fund (TLEF)
NSERC CREATE Program (ECOSCOPE)
Department of Microbiology & Immunology
UBC Skylight and the Center for Teaching, Learning and Technology (CTLT)
Postdoctoral Teaching and Learning Fellow
Attwood TK et al 2017. A global perspective on evolving bioinformatics and data science training needs. Brief Bioinform. 20(2):398-404. doi: 10.1093/bib/bbx100
Williams JJ et al 2017. Barriers to integration of bioinformatics into undergraduate life sciences education. BioRxiv. doi: 10.1101/204420
Williams JJ & Teal TK. 2017. A vision for collaborative training infrastructure for bioinformatics. Ann N Y Acad Sci. 1387(1):54-60_ doi: 10.1111/nyas.13207